Parallel distance: A new paradigm of measurement for parallel driving
文献类型：期刊论文
| 作者 | Liu, Teng1,5; Wang, Hong6; Tian, Bin4,5 ; Ai, Yunfeng3,5; Chen, Long2
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| 刊名 | IEEE-CAA JOURNAL OF AUTOMATICA SINICA
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| 出版日期 | 2020-07-01 |
| 卷号 | 7期号:4页码:1169-1178 |
| 关键词 | Artificial and physical system parallel distance parallel driving 3.0 parallel system rotational and accelerator signal |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2019.1911633 |
| 通讯作者 | Tian, Bin(bin.tian@ia.ac.cn) |
| 英文摘要 | In this paper, a new paradigm named parallel distance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then, Markov chain (MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework. |
| WOS关键词 | ENERGY MANAGEMENT ; VEHICLE |
| 资助项目 | National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; Beijing Municipal Science and Technology Commission[Z181100008918007] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) |
| WOS研究方向 | Automation & Control Systems |
| 语种 | 英语 |
| WOS记录号 | WOS:000545416200024 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Beijing Municipal Science and Technology Commission ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40028]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Tian, Bin |
| 作者单位 | 1.Chongqing Univ, Dept Automot Engn, Chongqing 400044, Peoples R China 2.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 5.Vehicle Intelligence Pioneers Inc, Qingdao 266109, Peoples R China 6.Waterloo Univ, Mech & Mechatron Engn Dept, Waterloo, ON N2L 3G1, Canada |
| 推荐引用方式 GB/T 7714 | Liu, Teng,Wang, Hong,Tian, Bin,et al. Parallel distance: A new paradigm of measurement for parallel driving[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2020,7(4):1169-1178. |
| APA | Liu, Teng,Wang, Hong,Tian, Bin,Ai, Yunfeng,&Chen, Long.(2020).Parallel distance: A new paradigm of measurement for parallel driving.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,7(4),1169-1178. |
| MLA | Liu, Teng,et al."Parallel distance: A new paradigm of measurement for parallel driving".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 7.4(2020):1169-1178. |
入库方式： OAI收割
来源：自动化研究所
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